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Entry AI role in Bangalore with generalist ML stack and metro location attracts high applicant competition.
Core AI/ML and software engineering skills are broadly transferable across industries.
Explicit AI/MLOps stack and testing/SDLC expectations impose moderate filtering on applicants.
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Develop and enhance next-generation AI/GenAI products and solutions with robust design, development, and testing.
Participate in the complete AI development lifecycle: data collection, preprocessing, model training, evaluation, and deployment.
Work with multiple technologies and databases to improve product scalability, control richness, rapid development, and security.
3 to 6 months of experience as a software AI Engineer.
Bachelor’s degree in engineering or equivalent.
Proficiency in AI development technologies such as Python, FastAPI, PyTest, Celery, and frameworks like LangChain, LangGraph.
Familiarity with AI/ML, GenAI, MLOps, object-oriented programming, concurrency, design patterns, REST APIs, CI/CD tools (Terraform, GitHub Actions), and databases (SQL, NoSQL including MongoDB, MSSQL, Postgres).
Strong troubleshooting and logic-based thinking skills critical for root cause analysis.
Proactive and initiative-driven, capable of proposing and owning projects beyond assigned scope.
Experienced with mature SDLC practices including Agile methodologies, unit testing, code coverage, security scans, and source control tools like GitHub or Bitbucket.